This example shows how to use an OFDM modulator and demodulator in a simple, 2x2 MIMO error rate simulation. The OFDM parameters are based on the 802.11n standard.

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Ofdm System
Mimo Ofdm Matlab Code Pdf File

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Cracked dll 3.1.5.0 free download. Create a QPSK modulator and demodulator pair.

Create an OFDM modulator and demodulator pair with user-specified pilot indices, an inserted DC null, two transmit antennas, and two receive antennas. Specify pilot indices that vary across antennas.

Show the resource mapping of pilot subcarriers for each transmit antenna. The gray lines in the figure denote the insertion of null subcarriers to minimize pilot signal interference.

Determine the dimensions of the OFDM modulator by using the info method.

Generate data symbols to fill 100 OFDM frames.

Apply QPSK modulation to the random symbols and reshape the resulting column vector to match the OFDM modulator requirements.

Create an error rate counter.

Simulate the OFDM system over 100 frames assuming a flat, 2x2, Rayleigh fading channel. Remove the effects of multipath fading using a simple, least squares solution, and demodulate the OFDM waveform and QPSK data. Generate error statistics by comparing the original data with the demodulated data.

Display the error statistics.

2x2 MIMO matlab code | STBC matlab code

This page covers MIMO MATLAB code for OFDM modulation. The STBC matlab code for 2x1 MIMO and 2x2 MIMO configurations are mentioned.

STBC 2x1 MIMO MATLAB Code

The figure-1 depicts STBC 2x1 MIMO configurations. Following is the script for 2x1 MIMO matlab code.

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Ofdm System

%code:Alamouti code 2x1 MIMO STBC matlab code
clc;
clear all;
close all;
ndata=2; % number of randam data
x=randint(ndata,1,1); % input data generated
x=[1 2];
%y=[x];
%INPUT DATA BITS
Data_input_bit(1,1)=x(1,1)
Data_input_bit(1,2)=x(1,2)
figure;plot(Data_input_bit);title('input data bits');
%performing 4 qam modulation on the input data
z=qammod(Data_input_bit,4);
%CHANNEL COEFFICENTS MATRIX
h=[0.3 -.2];
%h11=1; h12=1; h21=1; h22=1;
%NOISE COEFFICENTS
e=[.1 .1];
%e11=1; e12=1; e21=1; e22=1;
out=zeros(10,1);
for i=1;%:ndata-1;
% Symbols at time period T;
out(i,1)=z(i);
out(i+1,1)=z(i+1);
% Symbols at time period T+1;
out(i,2)=-conj(z(i+1));
out(i+1,2)=conj(z(i));
%time_t2(i,1)=-conj(z(i+1));
%time_t2(i+1,1)=conj(z(i));
end
s1=out(i,1);
s2=out(i+1,1);
%for j=1:100
for i=1;
%Recieved data by RX1 Antenna at time interval T
r(1,1)= (h(1,1)*s1) + (h(1,2)*s2) + e(1,1);
%Recieved data by RX1 Antenna at time interval (T+1)
r(1,2)= ((-h(1,1))*conj(s2)) + (h(1,2)*conj(s1)) + e(1,2);
end
t(1,1)=((conj(h(1,1))*r(1,1)));
t(1,2)=h(1,2)*(conj(r(1,2)));
t(2,1)=((conj(h(1,2)))*r(1,1));
t(2,2)=((h(1,1)*(conj(r(1,2)))));
%Maximum Likelehhod Detection Scehme
s1_e =t(1,1) + t(1,2);
s2_e= t(2,1) - t(2,2);
%s1_e= ((conj(h(1,1))*r(1,1))) + ((h(1,2)*(conj(r(1,2)))+ );
%s2_e= (((conj(h(2,1)))*r(2,1)) + ((h(1,2)*(conj(r(2,2))));
%performing 4 QAM Demodulation
%final output bits
final_output_Bits(1,1)=qamdemod(s1_e,4)
final_output_Bits(1,2)=qamdemod(s2_e,4)
figure;plot(final_output_Bits);title('final output Bits');

STBC 2x2 MIMO MATLAB Code

The figure-2 depicts STBC 2x2 MIMO configurations. Following is the script for 2x2 MIMO matlab code.

%code:Alamouti code 2x2 MIMO STBC matlab code
clc;
clear all;
close all;
ndata=2; % number of randam data
x=randint(ndata,1,1); % input data generated
x=[2 3];
%y=[x];
%INPUT DATA BITS
Data_input_bit(1,1)=x(1,1)
Data_input_bit(1,2)=x(1,2)
%performing 16 qam modulation on the input data
z=qammod(Data_input_bit,4);
%CHANNEL COEFFICENTS MATRIX
h=[0.3 -.2 ;.1 .11];
%h11=1; h12=1; h21=1; h22=1;
%NOISE COEFFICENTS
e=[.1 .1;.1 .1];
%e11=1; e12=1; e21=1; e22=1;
out=zeros(10,1);
for i=1;%:ndata-1;
% Symbols at time period T;
out(i,1)=z(i);
out(i+1,1)=z(i+1);
% Symbols at time period T+1;
out(i,2)=-conj(z(i+1));
out(i+1,2)=conj(z(i));
%time_t2(i,1)=-conj(z(i+1));
%time_t2(i+1,1)=conj(z(i));
end
s1=out(i,1);
s2=out(i+1,1);
%for j=1:100
for i=1;
%Recieved data by RX1 Antenna at time interval T
r(1,1)= (h(1,1)*s1) + (h(1,2)*s2) + e(1,1);
%Recieved data by RX1 Antenna at time interval (T+1)
r(1,2)= ((-h(1,1))*conj(s2)) + (h(1,2)*conj(s1)) + e(1,2);
%Recieved data by RX2 Antenna at time interval T
r(2,1)= (h(2,1)*s1) + (h(2,2)*s2) + e(2,1);
%Recieved data by RX1 Antenna at time interval (T+1)
r(2,2)= ((-h(2,1))*conj(s2)) + (h(2,2)*conj(s1)) + e(2,2);
end
t(1,1)=((conj(h(1,1))*r(1,1)));
t(1,2)=h(1,2)*(conj(r(1,2)));
t(2,1)=((conj(h(2,1)))*r(2,1));
t(2,2)=((h(1,2)*(conj(r(2,2)))));
c(1,1)= ((conj(h(1,2)))*r(1,1));
c(1,2)= h(1,1)*(conj(r(1,2)));
c(2,1)= ((conj(h(2,2)))*r(2,1));
c(2,2)= ((h(2,1)*(conj(r(2,2)))));
%Maximum Likelehhod Detection Scehme
s1_e =t(1,1) + t(1,2) + t(2,1) + t(2,2);
s2_e= c(1,1) - c(1,2) + c(2,1) - c(2,2);
%s1_e= ((conj(h(1,1))*r(1,1))) + ((h(1,2)*(conj(r(1,2)))+ ((conj(h(2,1)))*r(2,1)) + ((h(1,2)*(conj(r(2,2)))));
%s2_e= ((conj(h(1,2)))*r(1,1)) - ((h(1,1)*(conj(r(1,2)))) + ((conj(h(2,2)))*r(2,1)) - ((h(2,1)*(conj(r(2,2)))));
%performing 16 QAM Demodulation
%final output bits
final_output_Bits(1,1)=qamdemod(s1_e,4)
final_output_Bits(1,2)=qamdemod(s2_e,4)

Download SISO, SIMO, MISO, MIMO MATLAB codes

Mimo Ofdm Matlab Code Pdf File

Follow links below to download SISO, SIMO, MISO and MIMO MATLAB codes.
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